TY - JOUR
T1 - Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome
AU - Vila, Arnau Vich
AU - Imhann, Floris
AU - Collij, Valerie
AU - Jankipersadsing, Soesma A.
AU - Gurry, Thomas
AU - Mujagic, Zlatan
AU - Kurilshikov, Alexander
AU - Bonder, Marc Jan
AU - Jiang, Xiaofang
AU - Tigchelaar, Ettje F.
AU - Dekens, Jackie
AU - Peters, Vera
AU - Voskuil, Michiel D.
AU - Visschedijk, Marijn C.
AU - van Dullemen, Hendrik M.
AU - Keszthelyi, Daniel
AU - Swertz, Morris A.
AU - Franke, Lude
AU - Alberts, Rudi
AU - Festen, Eleonora A. M.
AU - Dijkstra, Gerard
AU - Masclee, Ad A. M.
AU - Hofker, Marten H.
AU - Xavier, Ramnik J.
AU - Alm, Eric J.
AU - Fu, Jingyuan
AU - Section, Cisca Wijmenga
AU - Section, Daisy M. A. E. Jonkers
AU - Zhernakova, Alexandra
AU - Weersma, Rinse K.
PY - 2018/12/19
Y1 - 2018/12/19
N2 - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.
AB - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.
KW - RESISTANCE
KW - IDENTIFICATION
KW - INTESTINE
KW - ALIGNMENT
KW - MARKERS
KW - IRON
U2 - 10.1126/scitranslmed.aap8914
DO - 10.1126/scitranslmed.aap8914
M3 - Article
SN - 1946-6234
VL - 10
JO - Science Translational Medicine
JF - Science Translational Medicine
IS - 472
M1 - 8914
ER -